A topic evolution model with sentiment and selective attention

Xia-Meng Si, Wen-Dong Wang, Chun-Qing Zhai and Yan Ma

Physica A: Statistical Mechanics and its Applications, 2017, vol. 471, issue C, 480-491

Abstract: Topic evolution is a hybrid dynamics of information propagation and opinion interaction. The dynamics of opinion interaction is inherently interwoven with the dynamics of information propagation in the network, owing to the bidirectional influences between interaction and diffusion. The degree of sentiment determines if the topic can continue to spread from this node, and the selective attention determines the information flow direction and communicatee selection. For this end, we put forward a sentiment-based mixed dynamics model with selective attention, and applied the Bayesian updating rules on it. Our model can indirectly describe the isolated users who seem isolated from a topic due to some reasons even everybody around them has heard about it. Numerical simulations show that, more insiders initially and fewer simultaneous spreaders can lessen the extremism. To promote the topic diffusion or restrain the prevailing of extremism, fewer agents with constructive motivation and more agents with no involving motivation are encouraged.

Keywords: Hybrid dynamics; Topic evolution; Selective attention; Involving motivation; Infected threshold (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:471:y:2017:i:c:p:480-491

DOI: 10.1016/j.physa.2016.11.018

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